Senior Full Stack Software Engineer - on site

Simple Solutions•New York, NY

12h•Onsite

About The Position

We are seeking a Senior Full Stack Software Engineer to join our fast-scaling AI sales intelligence platform company. This role is based in NYC, NY (SoHo) and involves working on a platform that transforms customer conversations into structured data and automated revenue actions. The company is well-funded, has strong product-market fit, and operates at the intersection of AI agents and modern revenue infrastructure. The engineer will drive the end-to-end design and implementation of product requirements, including task breakdown, technical scoping, full feature development (frontend and backend), testing, deployment, monitoring, and ongoing production support. The role requires building and maintaining high-quality, scalable full-stack systems using React, Next.js, Tailwind for the frontend, and Go, Postgres, Kafka, Redis for backend/data systems, with AWS and Kubernetes for infrastructure and deployment. Collaboration with Product, Design, and Engineering teams is key, involving translating product specs into features, influencing product direction, and identifying internal system improvements. The engineer will own the full software development lifecycle, from problem definition to iteration, and contribute to the AI-powered sales intelligence platform, including structuring customer interaction data, supporting AI agent workflows, and enhancing CRM intelligence. A balance between short-term delivery and long-term architecture, along with continuous improvement of code quality, reliability, and scalability, is expected in this fast-paced, high-ownership startup environment.

Requirements

React
Next.js
TypeScript
Go
Postgres
AWS
Kubernetes
GraphQL/REST APIs
Strong product thinking
Ownership mindset
Ability to ship end-to-end features
Real production ownership experience
Comfortable working across frontend + backend (true full-stack)
Experience with Identity and Access Management systems (SSO, MFA, OAuth2, SAML, OpenID Connect)
Experience in regulated environments (healthcare or finance) with compliance (HIPAA, SOC 2, ISO 27001, etc.) is a plus, showing structured thinking about compliance and security standards.

Nice To Haves

Experience with AI/ML-enabled products
Experience with data-heavy SaaS platforms
Experience with internal tooling that powers revenue/sales/product workflows
Experience as a builder over a maintainer (shipped full features, not just maintained services)
Experience in high-growth startups (Series A-C) or strong engineering orgs with direct impact on product + architecture

Responsibilities

Drive end-to-end design and implementation of product requirements
Task breakdown and technical scoping
Full feature development (frontend + backend)
Testing, deployment, monitoring, and ongoing production support
Build and maintain high-quality, scalable full-stack systems
Collaborate closely with Product, Design, and Engineering teams
Translate product specs into production-ready features
Influence product direction with technical and product-driven ideas
Identify opportunities to improve internal systems and workflows
Own the full software development lifecycle, including problem definition, technical discovery, system design, architecture decisions, implementation, iterative development, testing, validation, demoing, and supporting production use cases
Contribute to and improve the AI-powered sales intelligence platform, including structuring and processing customer interaction data, supporting AI agent workflows and automation systems, and enhancing CRM intelligence, reporting, and revenue visibility tools
Balance short-term delivery needs vs long-term architecture, making pragmatic engineering trade-offs
Continuously improve code quality, system reliability, and scalability
Work in a fast-paced, high-ownership startup environment, taking responsibility from idea to production to iteration